Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/10312#discussion_r47672516
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala ---
@@ -303,7 +316,32 @@ final class DataFrameWriter private[sql](df:
DataFrame) {
conn.close()
}
- JdbcUtils.saveTable(df, url, table, props)
+ JdbcUtils.saveTable(df, url, table, props, columnMapping)
+ }
+
+ /**
+ * (java-specific) version of jdbc method
+ */
+ def jdbc(url: String,
+ table: String,
+ connectionProperties: Properties,
+ columnMapping: java.util.Map[String, String]): Unit = {
+ // Convert java Map into immutable scala Map
+ var sColumnMapping: scala.collection.immutable.Map[String, String] =
null
--- End diff --
You've already imported the `JavaConverters`, so all of this conversion is
just `columnMapping.toScala` I agree it does matter whether you support `null`
but you need not.
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